从基因组学角度看蚁蚕共生真菌(Escovopsis)及其盟友的次级代谢进化。

IF 5 2区 生物学 Q1 MICROBIOLOGY mSystems Pub Date : 2024-07-23 Epub Date: 2024-06-21 DOI:10.1128/msystems.00576-24
Aileen Berasategui, Hassan Salem, Abraham G Moller, Yuliana Christopher, Quimi Vidaurre Montoya, Caitlin Conn, Timothy D Read, Andre Rodrigues, Nadine Ziemert, Nicole Gerardo
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引用次数: 0

摘要

共生过程中的代谢密切关系往往需要专家来完成。天然产物和防御性次生代谢物可以通过确保宿主的感染和跨代繁殖来驱动特异性。但与细菌相比,人们对真菌天然产物生物合成途径的多样性和分布,以及它们如何进化以促进共生和适应宿主环境知之甚少。在这项研究中,我们确定了蚁蛆属和密切相关属的次生代谢,它们是真菌养殖蚂蚁花园中的共生体。我们想知道各种生物合成途径的增减是如何与不同的生活方式相对应的。通过长读测序,我们确定了具有代表性的 Escovopsis 菌株的染色体特征,发现了由 7 至 8 条染色体组成的高度缩小的基因组。这些基因组高度同源,大同源度随着系统发育距离的增加而降低,同时保持了高度的中同源度。对生物合成途径的祖先状态重建分析表明,虽然许多次级代谢物与非共生的尾柄霉菌共享,但有 56 种途径是共生属所独有的。我们观察到,这些途径的逐步获得反映了蚂蚁的生态辐射及其真菌栽培种的动态招募和替换,这反映了对蚂蚁农业系统分化的适应。由于不同支系编码生物合成基因簇的特征组合,这些划分特征为了解这些共生体与其真菌宿主之间的特异性可能机制提供了重要的启示。总之,我们的发现揭示了 Escovopsis 及其盟友次生代谢的进化动态性质,反映了共生体对古老农业系统的适应。在这里,我们重点介绍了啮齿动物相关真菌共生体高度精简的基因组特征。Escovopsis物种以及其他共生菌属的物种(其中许多与真菌生长蚂蚁的花园很相似)的基因组由七条染色体组成。尽管新陈代谢保持高度一致,但我们观察到共生体产生次级代谢物的潜力存在一些差异。由于编码生物合成基因簇的系统发育分布与农业系统中的蚂蚁过渡相吻合,我们强调了这些代谢物在调解一群高度特化的共生体的适应性方面可能发挥的作用。
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Genomic insights into the evolution of secondary metabolism of Escovopsis and its allies, specialized fungal symbionts of fungus-farming ants.

The metabolic intimacy of symbiosis often demands the work of specialists. Natural products and defensive secondary metabolites can drive specificity by ensuring infection and propagation across host generations. But in contrast to bacteria, little is known about the diversity and distribution of natural product biosynthetic pathways among fungi and how they evolve to facilitate symbiosis and adaptation to their host environment. In this study, we define the secondary metabolism of Escovopsis and closely related genera, symbionts in the gardens of fungus-farming ants. We ask how the gain and loss of various biosynthetic pathways correspond to divergent lifestyles. Long-read sequencing allowed us to define the chromosomal features of representative Escovopsis strains, revealing highly reduced genomes composed of seven to eight chromosomes. The genomes are highly syntenic with macrosynteny decreasing with increasing phylogenetic distance, while maintaining a high degree of mesosynteny. An ancestral state reconstruction analysis of biosynthetic pathways revealed that, while many secondary metabolites are shared with non-ant-associated Sordariomycetes, 56 pathways are unique to the symbiotic genera. Reflecting adaptation to diverging ant agricultural systems, we observe that the stepwise acquisition of these pathways mirrors the ecological radiations of attine ants and the dynamic recruitment and replacement of their fungal cultivars. As different clades encode characteristic combinations of biosynthetic gene clusters, these delineating profiles provide important insights into the possible mechanisms underlying specificity between these symbionts and their fungal hosts. Collectively, our findings shed light on the evolutionary dynamic nature of secondary metabolism in Escovopsis and its allies, reflecting adaptation of the symbionts to an ancient agricultural system.IMPORTANCEMicrobial symbionts interact with their hosts and competitors through a remarkable array of secondary metabolites and natural products. Here, we highlight the highly streamlined genomic features of attine-associated fungal symbionts. The genomes of Escovopsis species, as well as species from other symbiont genera, many of which are common with the gardens of fungus-growing ants, are defined by seven chromosomes. Despite a high degree of metabolic conservation, we observe some variation in the symbionts' potential to produce secondary metabolites. As the phylogenetic distribution of the encoding biosynthetic gene clusters coincides with attine transitions in agricultural systems, we highlight the likely role of these metabolites in mediating adaptation by a group of highly specialized symbionts.

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来源期刊
mSystems
mSystems Biochemistry, Genetics and Molecular Biology-Biochemistry
CiteScore
10.50
自引率
3.10%
发文量
308
审稿时长
13 weeks
期刊介绍: mSystems™ will publish preeminent work that stems from applying technologies for high-throughput analyses to achieve insights into the metabolic and regulatory systems at the scale of both the single cell and microbial communities. The scope of mSystems™ encompasses all important biological and biochemical findings drawn from analyses of large data sets, as well as new computational approaches for deriving these insights. mSystems™ will welcome submissions from researchers who focus on the microbiome, genomics, metagenomics, transcriptomics, metabolomics, proteomics, glycomics, bioinformatics, and computational microbiology. mSystems™ will provide streamlined decisions, while carrying on ASM''s tradition of rigorous peer review.
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